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Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Genomics yields biological and phenotypic insights into bipolar disorder

Kevin S. O’Connell, Maria Koromina, Tracey van der Veen, Toni Boltz, Friederike S. David, Jessica Yang, Keng‐Han Lin, Xin Wang, Jonathan R. I. Coleman, Brittany L. Mitchell, Caroline C. McGrouther, Aaditya V. Rangan, Penelope A. Lind, Elise Koch, Arvid Harder, Nadine Parker, Jaroslav Bendl, Kristina Adorjan, Esben Agerbo, Diego Albani, Silvia Alemany, Ney Alliey‐Rodriguez, Thomas D. Als, Till F. M. Andlauer, Anastasia Antoniou, Helga Ask, Nicholas Bass, Michael Bauer, Eva C. Beins, Tim B. Bigdeli, Carsten Bøcker Pedersen, Marco P. Boks, Sigrid Børte, Rosa Bosch, Murielle Brum, Ben Brumpton, Nathalie Brunkhorst-Kanaan, Monika Budde, Jonas Bybjerg‐Grauholm, William Byerley, Judit Cabana‐Domínguez, Murray J. Cairns, Bernardo Carpiniello, Miguel Casas, Pablo Cervantes, Chris Chatzinakos, Hsi‐Chung Chen, Tereza Clarence, Toni‐Kim Clarke, Isabelle Claus, Brandon J. Coombes, Elizabeth C. Corfield, Cristiana Cruceanu, Alfredo B. Cuéllar‐Barboza, Piotr M. Czerski, Konstantinos Dafnas, Anders M. Dale, Nina Dalkner, Franziska Degenhardt, J. Raymond DePaulo, Srdjan Djurovic, Ole Kristian Drange, Valentina Escott‐Price, Ayman H. Fanous, Frederike T. Fellendorf, I. Nicol Ferrier, Liz Forty, Josef Frank, Oleksandr Frei, Nelson B. Freimer, John F. Fullard, Julie Garnham, Ian R. Gizer, Scott D. Gordon, Katherine Gordon‐Smith, Tiffany A. Greenwood, Jakob Grove, José Guzmán‐Parra, Tae Hyon Ha, Tim Hahn, Magnús Haraldsson, Martin Hautzinger, Alexandra Havdahl, Urs Heilbronner, Dennis Hellgren, Stefan Herms, Ian B. Hickie, Per Hoffmann, Peter Holmans, Ming‐Chyi Huang, Masashi Ikeda, Stéphane Jamain, Jessica Johnson, Lina Jönsson, János Kálmán, Yoichiro Kamatani, James L. Kennedy, Euitae Kim, Jaeyoung Kim, Sarah Kittel‐Schneider

Nature · 2025

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Summary

This large international collaborative genomic study investigated the genetic basis of bipolar disorder through association analysis, as suggested by the title and Nature publication venue (2025). The work appears to have identified novel genetic loci and characterised biological pathways implicated in disease aetiology, potentially linking psychiatric and metabolic phenotypes. The findings may inform understanding of bipolar disorder's molecular mechanisms, though direct application to agricultural or nutritional intervention remains unclear from the title alone.

UK applicability

Findings may have relevance to UK clinical genetics and psychiatry practice through improved diagnostic or prognostic understanding of bipolar disorder. However, the paper's primary contribution appears to be fundamental genomics rather than nutritional or farming-systems science applicable to UK agricultural policy or practice.

Key measures

Genome-wide association signals, genetic variants, biological pathway enrichment, phenotypic correlations with psychiatric and metabolic traits

Outcomes reported

The study identified genomic variants and biological pathways associated with bipolar disorder through large-scale genetic analysis. The research generated phenotypic and mechanistic insights into the condition's genetic architecture and potential biological underpinnings.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Meta-analysis / Genome-wide association study (GWAS)
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41586-024-08468-9
Catalogue ID
SNmoj1y7c9-79g7br

Topic tags

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